akshay = {
"name" : "Akshay Rathod",
"role" : "Data Scientist & AI/ML Engineer",
"location" : "Pune, Maharashtra, India 🇮🇳",
"email" : "akshayrathod8179@gmail.com",
"building" : ["End-to-end ML pipelines", "Edge AI solutions for IoT"],
"learning" : ["MLOps on Google Cloud Platform", "TinyML"],
"collab" : "Open-source AI × IoT × Data Science projects",
"superpower": "Turning raw sensor data → production ML models → business value",
"fun_fact" : "A few lines of code can predict the future with remarkable accuracy ✨",
}| Project | What It Solves | Stack | Link |
|---|---|---|---|
| 📡 TeleChurn Intelligence | Predicts telecom customer churn and highlights high-risk customer segments for retention strategy | Python Pandas Scikit-Learn XGBoost LightGBM |
View Repository → |
| 🏥 MediCost AI | Predicts medical insurance cost and explains major cost drivers using ML + web app experience | Python Flask ML Gemini AI |
View Repository → |
| 📈 E-commerce Sales Forecasting | Forecasts sales trends and converts EDA into actionable business recommendations | Python Time Series Jupyter |
View Repository → |
| 🍕 Pizza Sales Performance Dashboard | Tracks sales KPIs, category performance, and business trends through BI dashboards | SQL Power BI Excel |
View Repository → |
| 🌿 Smart Agriculture IoT System | Monitors soil/environment data and triggers precision farming alerts | Python Raspberry Pi MQTT GCP |
View Repository → |
🔍 Explore all projects → github.com/Akshay8087?tab=repositories
|
SQL extraction, Power BI dashboards, DAX measures, reporting automation and business insights. |
EDA, feature engineering, model tuning, evaluation and interpretable prediction systems. |
Deep learning, Generative AI applications, deployment workflows and production ML. |

